Xuan-Nga Cao
Artificial Intelligence · 2014–2021
A researcher in the Science corpus: 6 papers; trusts 19 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 85 citations into it; #9,986 of 35,345 by trust here, #5,880 by citations
- Speech & Audio — 78 citations into it; #518 of 1,076 by trust here, #301 by citations
- Signal Processing — 62 citations into it; #4,927 of 7,572 by trust here, #1,411 by citations
- Cognitive Neuroscience — 10 citations into it
- Evaluation & Benchmarks — 10 citations into it; #3,015 of 3,147 by trust here, #2,222 by citations
Whom Xuan-Nga Cao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thomas Schatz
- Aren Jansen
- Maarten Versteegh
- Hynek Hermansky
- Emmanuel Dupoux
- Sharon Goldwater
- Daniel Povey
- Sakriani Watiasri Sakti
- Roland Thiollière
- ChrisD . Frith
Who trusts Xuan-Nga Cao overall
- Thomas Schatz
- Maarten Versteegh
- Emmanuel Dupoux
- Morgane Rivière
- Ewan Dunbar
- Roland Thiollière
- Hongjie Chen
- T. Ansari
- Rahma Chaabouni
- Neil Zeghidour
Papers from Xuan-Nga Cao's perspective
Ordered by how strongly the researchers Xuan-Nga Cao trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- The Kaldi Speech Recognition Toolkit
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- WaveNet: A Generative Model for Raw Audio
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- The zero resource speech challenge 2017 (2017) — 210 citations
- The Zero Resource Speech Challenge 2019: TTS without T (2019) — 129 citations
- The zero resource speech challenge 2015 (2015) — 107 citations
- The Zero Resource Speech Challenge 2020: Discovering discrete subword and word units (2020) — 66 citations
- Early phonetic learning without phonetic categories: Insights from large-scale simulations on realistic input (2021) — 81 citations
- Evaluating speech features with the minimal-pair ABX task (II): resistance to noise (2014) — 38 citations